确定监测区域建立森林郁闭度估测方程最优样地的研究

Determining the optimum sample plots for establishing canopy density estimating equation in monitoring area

在对监测区域样地进行合理分类的基础上,需抽取一定数量能代表监测区域森林资源分布状况的最优样地,根据所抽样地对应影响郁闭度估测的主要遥感和GIS因子,可建立以样地为单位的郁闭度估测方程.最优样地是指能代表监测区域森林种类及分布状况的样地,它包含样地的数量及样地的代表性两个方面的含义.如何抽取最优样地属多目标优化问题.该文在理论描述特定监测区域最优样地数学模型的基础上,通过实例进行了系统研究与分析,有效解决了最优样地的抽样问题,所得结果可用于指导生产实践.

On the basis of rationally classifying sample plots in monitoring area, a certain amount of optimum sample plots that can represent the forest resource distribution status in the monitoring area should be sampled. According to the main remote sensing and GIS factors influencing the canopy density estimation corresponding to sample plots selected, the canopy density estimating equation with sample plot as unit can be established. The optimum sample plots are the sample plots that can represent the species and distribution of forest resource in monitoring area and include the quantity and representative of sample plots. Also, how to take the optimum sample plots belongs to the question of multi-objective optimizing. In this paper, on the basis of theoretically describing mathematics model of the optimum sample plots in certain monitoring area, systematic research and analysis had been carried out through realitic instances and sampling problem of the optimum sample plots had been solved effectively. Therefore, the result can be used for guiding production practices.